MDGen

Generate molecular dynamics trajectories with generative models

MDGen learns the distribution of molecular dynamics trajectories with generative models, sampling plausible conformational states and transitions without running full simulations. It can initialize MD, propose metastable states and refine structures. Bridges machine learning with physics-based sampling workflows.

MDGen is being onboarded — request access and be first in line.